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Applied Machine Learning Prototypes | The Future of Machine Learning

Applied Machine Learning Prototypes or AMPs, are pre-built applications that can be used as a starting point for your next machine learning project. These prototypes are designed to save time and resources by providing a tested and reliable solution to common machine learning problems. Cloudera + Dell + AMD.

AWS Redshift vs. The Rest - What's the Best Data Warehouse?

In the age of big data, where humans generate 2.5 quintillion bytes of data every single day, organizations like yours have the potential to harness more powerful analytics than ever before. But gathering, organizing, and sorting data still proves a challenge. Put simply, there's too much information and not enough context. The most popular commercial data warehouse solutions like Amazon Redshift say they deliver structured, usable data for businesses. But is this true?

Partners in Innovation: Voice of the Customer Enhancements to Logi Symphony

It’s no secret that companies that listen to their customers have a greater chance at success. That is why we value our customers’ voice at insightsoftware. You use our products every day to run your organization, make critical decisions, achieve your business goals, and bring success to your own stakeholders. This approach provides you with a unique perspective on how our offerings can be enhanced with new features and tools that help you and your end users work better.

Boosting Object Storage Performance with Ozone Manager

Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The Ozone Manager is a critical component of Ozone. It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale.

Data Lake ETL: Integrating Data From Multiple Sources

Utilizing big data is one of the biggest assets your organization can use to stay ahead of the competition. Even though big data continues to grow, most organizations have yet to leverage its capabilities fully. Why? Because millions of data sources exist on the internet and physically. Ingesting and integrating this data can quickly become overwhelming. With data lakes, you can integrate raw data from multiple sources into one central storage repository.

Powering the Latest LLM Innovation, Llama v2 in Snowflake, Part 1

This blog series covers how to run, train, fine-tune, and deploy large language models securely inside your Snowflake Account with Snowpark Container Services This year there has been a surge of progress in the world of open source large language models (LLMs). This world of free and open source LLMs took yet another major step forward just this week with Meta’s release of Llama v2.